Improved protein structure prediction using potentials from deep learning AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ... Nature 577 (7792), 706-710, 2020 | 3035 | 2020 |
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ... Proteins: structure, function, and bioinformatics 87 (12), 1141-1148, 2019 | 326 | 2019 |
De novo structure prediction with deep-learning based scoring R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, A Zidek, ... Thirteenth Critical Assessment of Techniques for Protein Structure …, 2018 | 145 | 2018 |
Improving object classification using pose information H Penedones, R Collobert, F Fleuret, D Grangier Idiap, 2012 | 24 | 2012 |
Augustin ˇZıdek, Alexander WR Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray … AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin Nature 577 (7792), 706-710, 2020 | 20 | 2020 |
Adaptive Lambda Least-Squares Temporal Difference Learning T Mann, H Penedones, S Mannor, T Hester https://arxiv.org/abs/1612.09465, 2016 | 14 | 2016 |
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem H Penedones, D Vincent, H Maennel, S Gelly, T Mann, A Barreto arXiv preprint arXiv:1807.03064, 2018 | 8 | 2018 |
Machine learning for determining protein structures AW Senior, J Kirkpatrick, L Sifre, RA Evans, H Penedones, QIN Chongli, ... | 7 | 2021 |
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates H Penedones, C Riquelme, D Vincent, H Maennel, T Mann, A Barreto, ... NeurIPS - Advances in Neural Information Processing Systems, 2019 | 7* | 2019 |
Predicting Venus Express Thermal Power Consumption H Penedones, B Sousa, A Donati, J Martínez-Heras SpaceOps 2008 Conference, 3302, 2008 | 3 | 2008 |
FC Portugal 2004 Team: Strategic Positioning for 3D Soccer N Lau, LP Reis, H Marques, H Penedones, R Ferreira, R Sampaio World, 3-4, 2004 | 2 | 2004 |
SimuStruct: Simulated Structural Plate with Holes Dataset with Machine Learning Applications BA Ribeiro, JA Ribeiro, F Ahmed, H Penedones, J Belinha, L Sarmento, ... Workshop on''Machine Learning for Materials''ICLR 2023, 2023 | 1 | 2023 |
Equivariant neural networks for recovery of Hadamard matrices A Peres, E Dias, L Sarmento, H Penedones arXiv preprint arXiv:2201.13157, 2022 | 1 | 2022 |
Data mining em bases de dados de telecomunicações H Penedones Faculdade de Engenharia da Universidade do Porto, 2005 | 1* | 2005 |
Scalar Field Prediction on Structural Analysis using Graph Neural Networks BA Ribeiro, JA Ribeiro, F Ahmed, SMO Tavares, H Penedones, ... | | 2023 |
Advancing Structural Design with Machine Learning: Stress Field Predic-tion in Plates with Cutouts JA Ribeiro, BA Ribeiro, H Penedones, L Sarmento, SMO Tavares Associação Brasileira de Métodos Computacionais em Engenharia 1 (01), 2023 | | 2023 |
Playground Learning for Object Detection H Penedones, F Fleuret | | 2009 |
FC Portugal 2004: New Coordination Methodologies in the Simulation League LP Reis, N Lau, R Ferreira, H Penedones, H Marques, R Sampaio | | 2004 |